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LR1e4-BS16_Distil-CNN256LSTM128NoBi – AI Model by tyavika | AlphaNeural AI
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tyavika
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LR1e4-BS16_Distil-CNN256LSTM128NoBi
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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LR1e4-BS16_Distil-CNN256LSTM128NoBi
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2466
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
3.7339
1.0
3290
2.8528
1.9078
2.0
6580
1.8196
1.386
3.0
9870
1.6899
0.9218
4.0
13160
1.8309
0.5761
5.0
16450
2.2466
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
